Companies care about output, not code typed out by programmers. Most of the code I write now is generated, and I’m “writing” more code than ever, and better tests. Many devs I know are doing the same with generative AI. Why isn’t that a win?
My job is to build systems that work. Code is a liability sometimes needed to accomplish that. I don't want more of it unless there's some reason to believe the benefits outweigh the liability. Based on what I'm able to get from LLMs and especially what I'm seeing produced by others I know are using them, that's not often the case with agents.
Because that’s precisely what’s wrong with AI. It creates a lot of code, what could have been done with fewer code, or no code at all if you didn’t go on path A with AI, but thought about path B yourself.